With batch updating, a set of SQL statements is assembled and then sent altogether to the database for execution. Batch updating can improve performance. 
This example creates a batch of insert statements. Auto-commit is disabled so that you have the choice of committing or not in the event of an exception. 

    try {
        // Disable auto-commit
        connection.setAutoCommit(false);
    
        // Create a prepared statement
        String sql = "INSERT INTO my_table VALUES(?)";
        PreparedStatement pstmt = connection.prepareStatement(sql);
    
        // Insert 10 rows of data
        for (int i=0; i<10; i++) {
            pstmt.setString(1, ""+i);
            pstmt.addBatch();
        }
    
        // Execute the batch
        int [] updateCounts = pstmt.executeBatch();
    
        // All statements were successfully executed.
        // updateCounts contains one element for each batched statement.
        // updateCounts[i] contains the number of rows affected by that statement.
        processUpdateCounts(updateCounts);
    
        // Since there were no errors, commit
        connection.commit();
    } catch (BatchUpdateException e) {
        // Not all of the statements were successfully executed
        int[] updateCounts = e.getUpdateCounts();
    
        // Some databases will continue to execute after one fails.
        // If so, updateCounts.length will equal the number of batched statements.
        // If not, updateCounts.length will equal the number of successfully executed statements
        processUpdateCounts(updateCounts);
    
        // Either commit the successfully executed statements or rollback the entire batch
        connection.rollback();
    } catch (SQLException e) {
    }
    
    public static void processUpdateCounts(int[] updateCounts) {
        for (int i=0; i<updateCounts.length; i++) {
            if (updateCounts[i] >= 0) {
                // Successfully executed; the number represents number of affected rows
            } else if (updateCounts[i] == Statement.SUCCESS_NO_INFO) {
                // Successfully executed; number of affected rows not available
            } else if (updateCounts[i] == Statement.EXECUTE_FAILED) {
                // Failed to execute
            }
        }
    }

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